| Machine learning and deep learning C Janiesch, P Zschech, K Heinrich Electronic Markets 31 (3), 685-695, 2021 | 4210 | 2021 |
| Generative ai S Feuerriegel, J Hartmann, C Janiesch, P Zschech Business & Information Systems Engineering 66 (1), 111-126, 2024 | 1811 | 2024 |
| Generative AI S Feuerriegel, J Hartmann, C Janiesch, P Zschech Business & Information Systems Engineering 66, 111–126, 2024 | 180* | 2024 |
| A survey of image labelling for computer vision applications C Sager, C Janiesch, P Zschech Journal of Business Analytics 4 (2), 91-110, 2021 | 160 | 2021 |
| Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature T Schoormann, G Strobel, F Möller, D Petrik, P Zschech Communications of the Association for Information Systems 52 (1), 8, 2023 | 149 | 2023 |
| Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models J Zipfel, F Verworner, M Fischer, U Wieland, M Kraus, P Zschech Computers & Industrial Engineering 177, 109045, 2023 | 144 | 2023 |
| Machine Learning and Deep Learning. arXiv C Janiesch, P Zschech, K Heinrich | 105* | 2021 |
| Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning K Heinrich, P Zschech, C Janiesch, M Bonin Decision Support Systems, 113494, 2021 | 75 | 2021 |
| How Much AI Do You Require? Decision Factors for Adopting AI Technology J Wanner, K Heinrich, C Janiesch, P Zschech 41st International Conference on Information Systems (ICIS), India, 2020 | 60 | 2020 |
| Interpretable generalized additive neural networks M Kraus, D Tschernutter, S Weinzierl, P Zschech European Journal of Operational Research 317 (2), 303-316, 2024 | 52 | 2024 |
| White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems J Wanner, LV Herm, K Heinrich, C Janiesch, P Zschech 41st International Conference on Information Systems (ICIS), India, 2020 | 50 | 2020 |
| Intelligent user assistance for automated data mining method selection P Zschech, R Horn, D Höschele, C Janiesch, K Heinrich Business & Information Systems Engineering 62 (3), 227-247, 2020 | 43 | 2020 |
| A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics P Zschech 26th European Conference on Information Systems (ECIS), Portsmouth, UK, 2018 | 43 | 2018 |
| Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models S Kruschel, N Hambauer, S Weinzierl, S Zilker, M Kraus, P Zschech Business & Information Systems Engineering, 2025 | 39 | 2025 |
| Prognostic Model Development with Missing Labels - A Condition-Based Maintenance Approach Using Machine Learning P Zschech, K Heinrich, R Bink, JS Neufeld Business & Information Systems Engineering 61 (3), 327–343, 2019 | 35 | 2019 |
| Prescriptive analytics systems revised: a systematic literature review from an information systems perspective C Wissuchek, P Zschech Information systems and e-business management 23 (2), 279-353, 2025 | 33 | 2025 |
| GAM (e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints P Zschech, S Weinzierl, N Hambauer, S Zilker, M Kraus 30th European Conference on Information Systems (ECIS), Timisoara, Romania, 2022 | 30 | 2022 |
| labelcloud: A lightweight domain-independent labeling tool for 3d object detection in point clouds C Sager, P Zschech, N Kühl arXiv preprint arXiv:2103.04970, 2021 | 29 | 2021 |
| labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds C Sager, P Zschech, N Kühl Computer-Aided Design and Applications 19 (6), 1191-1206, 2022 | 27 | 2022 |
| A picture is worth a collaboration: accumulating design knowledge for computer-vision-based hybrid intelligence systems P Zschech, J Walk, K Heinrich, M Vössing, N Kühl 29th European Conference on Information Systems (ECIS), AIS Virtual Conference, 2021 | 27 | 2021 |
Kai HeinrichOtto-von-Guericke Universität MagdeburgVerified email at ovgu.de
